Achieving top-tier performance from major language models demands a multifaceted approach. This involves carefully choosing the right architecture for your objective, feeding on a large and comprehensive dataset, and implementing advanced techniques such as dropout to mitigate overfitting. Furthermore, continuously evaluating model performance and